a nesting rat

a nesting rat — CS2 Stats

76561198097053459[U:1:136787731]Steam profile ↗✓ No bans

1,602Tracked matches42%Win rate2020Tracked since
CSDB Rating5.6 SolidPositional Player
Premier CS Rating9,682Light Blue band · top ~56.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Sep 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 9,682 → 9,682
+5Tracked matches · now 1,602
−1.7ppWin rate · 44.0% → 42.3%

Rating over time

Premier CS Rating: 9,682 +0 30 Aug – 5 Sept · 2 observations
9,6829,682peak 9,68230 Aug5 Sept
9,682Peak Premier on CSDB
28Days played since 2026-07-25

Premier CS Rating

  • At peak — 9,682
  • Next: Blue band at 10,000 — 318 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-08-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGa nesting ratPREMIER9,682 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim89
Positioning55
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY39–47–14Last 10039%Win rateWLLLWLLWWL

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · +3.7pp headshot accuracy · +44ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 483ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 552ms

Last 20

  • 7–10–3 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 529ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.1 against its own average).

Aim8.9
Utility4.3
Positioning5.5
Opening Duels3.5

Sharp aimerExcellent counter-strafingLimited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

sh1ro

Plays most like sh1ro 91% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 11.8° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.9
Positioning5.5
Utility4.3
Mechanics8.5
Opening Duels3.1
Win Impact2.4

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time520ms−32ms
first ⅓ avg 552ms → last ⅓ avg 520ms
Headshot accuracy18.5%+0.2%
first ⅓ avg 18.3% → last ⅓ avg 18.5%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.15Best match rating · 13–5 · office, 3 Aug →
38%Best headshot accuracy · 13–9 · office, 22 Aug →
391msFastest reaction time · 11–13 · office, 10 Sept →
13–2Biggest win · office, 25 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
4–4In matches decided by ≤2 rounds

Map breakdown

Strongest and weakest map need 5+ matches on two different maps — 1 of 7 maps qualify so far.

MapGradePlayedRecordWin rateAvg rating
officeC8637–4943%0.00
nuke—40–40%-0.03
dust2—40–40%0.00
cache—21–150%-0.01
shelter—21–150%0.01
inferno—10–10%0.01
vertigo—10–10%0.01

Across the last 100 tracked matches.

Faceit stats

Combat

7Matches
43%Win rate
0.53Avg K/D
—ADR
50%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLLL

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.0%Headshot accuracy
30.0%Accuracy (enemy spotted)
71.8%Spray accuracy
88.4%Counter-strafing
11.8°Preaim
515msReaction time
40.9%T opening success
44.1%CT opening success
0.47Enemies flashed / flash
3.3%Flash assists
11.64HE damage / grenade
3.30Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4658 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
office13–2-0.0322%25 Sept →
office6–13-0.0612%21 Sept →
office3–13-0.0218%10 Sept →
office11–130.019%10 Sept →
office8–2-0.0014%10 Sept →
office2–13-0.1127%2 Sept →
office6–130.0222%2 Sept →
office13–110.1220%2 Sept →
office7–00.1018%2 Sept →
nuke2–13-0.0836%2 Sept →
office12–12-0.0121%2 Sept →
office6–130.0116%2 Sept →
nuke8–130.018%1 Sept →
nuke5–130.0214%28 Aug →
dust212–120.0217%28 Aug →
office13–110.1017%28 Aug →
office13–80.1418%28 Aug →
office12–12-0.0421%27 Aug →
office3–13-0.0517%27 Aug →
office13–40.0413%27 Aug →
inferno7–130.0113%27 Aug →
dust27–13-0.0511%27 Aug →
office13–80.0316%27 Aug →
office13–9-0.0520%27 Aug →
office12–120.0129%26 Aug →
office13–10-0.0121%26 Aug →
dust25–130.0220%26 Aug →
cache2–13-0.0113%26 Aug →
vertigo5–130.0123%26 Aug →
cache13–9-0.0114%26 Aug →
office11–13-0.0116%26 Aug →
office13–50.0925%26 Aug →
office12–120.0129%25 Aug →
office13–4-0.0130%25 Aug →
office5–13-0.0119%25 Aug →
nuke6–13-0.0613%25 Aug →
shelter6–13-0.0716%25 Aug →
office10–130.0126%22 Aug →
office11–130.0326%22 Aug →
office12–120.0916%22 Aug →
office13–60.1220%22 Aug →
office1–13-0.0515%22 Aug →
office13–90.0238%22 Aug →
office2–13-0.015%21 Aug →
office2–13-0.0516%21 Aug →
office13–9-0.0214%21 Aug →
office12–120.0017%21 Aug →
office13–60.0420%21 Aug →
office13–9-0.0118%21 Aug →
office13–70.0220%21 Aug →
dust212–120.0221%20 Aug →
office8–13-0.0515%20 Aug →
office3–13-0.0817%20 Aug →
office13–5-0.0228%20 Aug →
office12–120.0011%20 Aug →
shelter13–110.0921%19 Aug →
office13–5-0.0014%19 Aug →
office6–13-0.0728%19 Aug →
office13–40.0217%19 Aug →
office2–13-0.1116%19 Aug →
office7–13-0.0210%19 Aug →
office10–13-0.0215%19 Aug →
office8–13-0.0310%19 Aug →
office0–13-0.066%18 Aug →
office10–130.0615%18 Aug →
office13–6-0.0926%16 Aug →
office13–70.0417%15 Aug →
office9–13-0.0129%15 Aug →
office5–130.0416%15 Aug →
office13–30.017%13 Aug →
office4–13-0.0715%13 Aug →
office12–12-0.0814%13 Aug →
office13–60.0824%13 Aug →
office0–13-0.073%11 Aug →
office4–13-0.1127%11 Aug →
office13–10-0.018%8 Aug →
office13–90.1426%8 Aug →
office9–130.0016%8 Aug →
office12–120.0916%6 Aug →
office12–12-0.0519%6 Aug →
office12–12-0.0517%5 Aug →
office13–11-0.0528%5 Aug →
office5–13-0.0013%5 Aug →
office12–12-0.077%5 Aug →
office0–13-0.1120%4 Aug →
office13–40.0621%4 Aug →
office8–130.0518%3 Aug →
office7–130.0021%3 Aug →
office13–50.1528%3 Aug →
office8–13-0.0626%2 Aug →
office13–30.0928%2 Aug →
office13–50.0214%2 Aug →
office0–13-0.0924%2 Aug →
office13–40.0321%31 Jul →
office13–70.0716%31 Jul →
office13–10-0.0510%28 Jul →
office11–130.0619%26 Jul →
office5–130.0125%26 Jul →
office13–70.0310%26 Jul →
office13–7-0.0220%25 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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